Export strategy: : a dynamic capabilities perspective

It is argued here that traditional export strategy research (encompassing the study of internationalization processes and export performance) is characterized by weak theoretical foundations and could benefit from a reorientation towards a dynamic capabilities perspective (DCP). We seek to draw on insights from DCP in order to devise a theoretical basis that could enrich export strategy research. Although our development of DCP insights builds on previous work, it also adds a crucial distinction between knowledge stocks and informational architecture. Changes in architecture are of greater importance. Following this elaboration of the dynamic capabilities perspective, we outline some implications and guidelines for future export strategy research.     

Internationalisation: A co-evolutionary perspective

Earlier research has identified several organisational and contextual factors relating to the internationalisation of the firm. However, the relations between these factors and their interaction over time have not been clearly understood. This paper seeks to bridge this gap and to provide a contribution to the internationalisation literature by presenting a co-evolutionary approach whereby the internationalisation path of the firm is seen as a product emerging from the co-evolution of internationalisation activities, organisational resources and industry influences. A longitudinal case study of the internationalisation of Orion Diagnostica illustrates the explanatory potential of the co-evolutionary model and captures the complex and interactive nature of the firm's internationalisation over time. The findings of the study also clarify the constraints that enable or compel a firm to internationalise rapidly and show how and why the status of “born globals” may change radically in the further internationalisation development.     

The cultural characteristic of individualism/collectivism: A comparative study of implications for investment in operations between emerging Asian and industrialized Western countries

This study provides insight into the importance of national culture, investment in operations, and performance in the context of emerging Asian economies with a collectivist orientation, which are compared to industrialized Western nations with an individualist orientation. Hypotheses are developed and tested based on the cultural concept of individualism/collectivism, the theory of performance frontiers, and the extent of economic development. More specifically, data collected from 639 manufacturing plants in nine countries are used to first assess the influence of the cultural trait of individualism/collectivism on the extent of investment in structural assets (specifically: physical and capital-based) and infrastructural assets (specifically: team-based methods and improvement programs). Second, the influence of the extent of economic development on these investment factors is measured. Third, evidence is provided supportive of the theory of performance frontiers, and the nature of resource investments in the context of the cultural construct of individualism/collectivism. And fourth, support is provided for the efficacy of this theory, as well as for its compatibility and association with the resource-based view of the firm. Overall, this study makes important contributions to both theory and practice, and provides evidence for the role played by the cultural characteristic of individualism/collectivism in determining plant level investment outcomes in emerging Asian economies.     

Radical innovations in new product development and their financial performance implications: An event study of US manufacturing firms

At the dawn of the 21st century, global competition continues to increase at an accelerating rate and radical innovation is recognized as a potent weapon for firms to achieve sustainable competitive advantages. Academics, practitioners and consultants share the view that radical innovation is important to the long-term financial success of firms. Nevertheless, empirical studies on the relationship between radical innovation and firm performance have been dominated by survey research, which provided little concrete evidence on the financial impact of radical innovation. In this study we traced the financial performance of publicly traded manufacturing firms in the United States that introduced radical innovations over the period 1986-2000 and examined whether radical innovation could lead to superior financial performance in these firms. We employed the event-study method, matching each sample firm with a control group of firms in the same industry with similar pre-event performance and firm size. Our results show that while radical innovation helps firms maintain sales growth and return on sales (ROS), firm profitability in terms of return on assets (ROA) is not significantly improved. In fact, manufacturers suffer from a decline in profitability upon the introduction of radical innovations in new product development.     

Barriers to innovation through public procurement: A supplier perspective

Public procurement is increasingly viewed as having important potential to drive innovation. Despite this interest, numerous barriers prevent the public sector from acting as an intelligent and informed customer. This paper seeks to understand how barriers related to processes, competences, procedures and relationships in public procurement influence suppliers? ability to innovate and to reap the benefits of innovation. We address this by exploiting a dedicated survey of public sector suppliers in the UK, using a probit model to investigate the influence of structural, market and innovation determinants on suppliers? perception of these barriers.     

Antecedents of supply chain visibility in retail supply chains: A resource-based theory perspective

Although visibility has become a popular buzzword in the supply chain literature it remains an ill-defined and poorly understood concept. It is assumed that if companies across supply chains have visibility of demand, inventory levels, processes, etc., that organizational performance improves. This research explores the antecedents of high levels of supply chain visibility from a resource-based theory perspective across five different external supply chain linkages. We find that the level of visibility across these linkages differs considerably based on various contributing factors which are both technology and non-technology based. Using resource-based theory, we identify those factors that can give a sustainable competitive advantage to a supply chain linkage through a “distinctive” or high level of visibility.     

Analysis of innovation in SMEs using an innovative capability-based non-linear model: A study in the province of Seville (Spain)

This article analyzes organizational characteristics associated with innovative outcomes of SMEs in local economies with a low level of technological and R&D activities, where the indicators generally used to gauge technological innovation do not offer sufficient data. For the study of innovation in such economies, we propose a conceptual model based on innovative capability which also includes explanatory variables of environment and other contextual factors of the firms. Through a process of filtering spurious variables and incorporating quadratic components, we have varied the original linear structure to form a quadratic model with greater explanatory capacity and better results. The resulting quadratic model has undergone various contrasts of hypotheses, thus demonstrating the effectiveness of the model as a whole and of its basic components, as well as the importance of the main explanatory variables. Finally, the model has also proven to be valid in all sectors.     

Linking green purchasing capabilities to environmental and economic performance: The moderating role of firm size

This study identifies firms’ green purchasing capabilities, classified into operational capabilities and dynamic capabilities, and measures their effects on the environmental and economic performance of a firm. We developed instruments to measure operational green purchasing capabilities and dynamic green purchasing capabilities. This study also investigates the moderating effect of firm size on the relationship between green purchasing capabilities and firm performance. The structural equation model (SEM) is used to analyse 239 responses from Japanese manufacturing companies. The results indicate that their green purchasing capabilities positively affect environmental and economic performance. Operational capabilities and dynamic capabilities have different levels of effects on green purchasing performance. A further analysis of the moderating effect of firm size shows that the high economic performance of green purchasing relies on the level of dynamic capabilities rather than firm size.     

Understanding antecedents of new product development speed: A meta-analysis

New product development (NPD) speed is a key component of time-based strategy, which has become increasingly important for managing innovation in a fast-changing business environment. This meta-analytic review assesses the generalizability of the relationships between NPD speed and 17 of its antecedents to provide a better understanding of the salient and cross-situationally consistent factors that affect NPD speed. We grouped the antecedents into four categories of strategy, project, process, and team, and found that process and team characteristics are more generalizable and cross-situationally consistent determinants of NPD speed than strategy and project characteristics. We also conducted subgroup analyses and found that research method variables, such as level of analysis, source of data, and measurement of speed, moderate the relationships between NPD speed and its antecedents. We apply the study's findings to assess several models of NPD speed, such as the balanced model of product development, the strategic orientation and organizational capability model, the compression vs. the experiential model, the centrifugal and centripetal model, and the product development cycle time model. We also discuss the implications of our findings for research and practice.     

Developing leaders for creative efforts: A domain-based approach to leadership development

As we move into the 21st century, innovation, sustained innovation, has become a critical determinant of organizational success and survival. Although we know much about potential influences on innovation, little is known about the actions that should be taken to develop the people who must lead these efforts. In the present paper, we present a model of the capacities and capabilities people need to lead creative efforts. A selection, optimization, and compensation model is used to specify the kind of interventions that might provide a basis for developing these capacities and capabilities. The implications of these observations are discussed with respect to both the relevance of available leadership development techniques and the unique needs of people asked to lead creative efforts.     

从流程层面到组织层面的扩展:项目管理成熟度研究综述

本文将项目管理成熟度模型的研究分为三个阶段：流程层面的研究、项目层面的研究和组织层面的研究。分别对这三个层面的研究进行介绍，对一些重点的项目管理成熟度模型进行阐述，并对目前最新的基于组织的成熟度模型0PM3做一简单介绍，文章最后简述了国内项目管理成熟度研究的现状并对研究前景进行展望．     

A new emergency management dynamic value assessment model based on social media data: a multiphase decision-making perspective

ABSTRACT

User-Generated Content (UGC) is becoming a powerful data source to support emergency management. Managers usually face two difficulties in practical emergency management. First, the requirement topics for emergency management are changing over time. Second, the value of the same microblog is changing over different emergency phases. The contributions of this study lie in the following aspects. First, this paper develops a multiphase dynamic assessment model. Second, an idea for the dynamic evaluation of UGC is proposed. Third, this paper presents an effective quantification method to assess the dynamic value of social media data.     

The ZD-GARCH model: A new way to study heteroscedasticity

This paper proposes a first-order zero-drift GARCH (ZD-GARCH(1, 1)) model to study conditional heteroscedasticity and heteroscedasticity together. Unlike the classical GARCH model, the ZD-GARCH(1, 1) model is always non-stationary regardless of the sign of the Lyapunov exponent ${\gamma }_0$, but interestingly it is stable with its sample path oscillating randomly between zero and infinity over time when ${\gamma }_0=0$. Furthermore, this paper studies the generalized quasi-maximum likelihood estimator (GQMLE) of the ZD-GARCH(1, 1) model, and establishes its strong consistency and asymptotic normality. Based on the GQMLE, an estimator for ${\gamma }_0$, a $t$-test for stability, a unit root test for the absence of the drift term, and a portmanteau test for model checking are all constructed. Simulation studies are carried out to assess the finite sample performance of the proposed estimators and tests. Applications demonstrate that a stable ZD-GARCH(1, 1) model is more appropriate than a non-stationary GARCH(1, 1) model in fitting the KV-A stock returns in Francq and Zakoïan (2012).     

Mapping the innovation production process from accumulative advantage to economic outcomes: A path modeling approach

The research about the innovation production process (IPP) is burgeoning. Our understanding of the interdependent interactions between functionally distinct innovation activities during it from a systemic perspective is rather unclear, yet, which is beneficial to empirical innovation management. This study, based on systems thinking, presents a novel analytical framework to empirically and quantitatively map the IPP jointly associated with a path modeling approach, which helps in untangling the interactive mechanism between stage-specific innovation activities with distinct functions within an IPP from accumulative advantage to economic outcomes. We use the attractive analytical framework to guide an empirical investigation to the China's high-tech industries' IPP at the macro-regional level. Our empirical study confirms the dominant role of previous innovation capital accumulation in the whole IPP embedded into regional innovation systems of China's high-tech industries. That is, we prove the existence of accumulative advantage phenomenon in the regional IPP. The examination results show that there is a significant Matthew effect of technological innovation accumulation on technological innovation inputs as well as the Path dependence of technological innovation outputs/outcomes on technological innovation accumulation. This indicates that the innovation-practitioners should promote innovation capital accumulation for sustainable innovations and economic profits in a long time. At the same time, our findings suggest that, in order to alleviate the cross-regional unbalance of innovation development and promote radial innovations in China's high-tech industries, both policy-makers and innovation-practitioners should try to get rid of the dependence on the previous accumulated innovation capital.     

A new approach to estimating earnings forecasting models: Robust regression MM-estimation

This study focuses on the impact of model estimation methods on earnings forecast accuracy. Compared with an ordinary least squares (OLS) regression combined with winsorization, robust regression MM-estimation improves the earnings forecast accuracy of all the models examined, especially for those with more variables. My findings indicate that the impact of outliers on the OLS regression increases with the number of variables in the models, alerting researchers who use OLS regressions for forecasting. My findings explain the puzzling negative relationship between earnings forecast accuracy and the number of model variables in prior research. Moreover, I demonstrate the valuation implications of earnings forecasted using robust regression MM-estimation. This study contributes to earnings forecasting, valuation, and influential observation treatment in forecasting.     

A methodology to rank enterprise application integration platforms from a performance perspective: an analytic hierarchy process-based approach

ABSTRACT

Companies’ software ecosystems comprise applications that support their business processes. Frequently, these applications have been developed with different technologies and with no concern about integration. Integration platforms are tools that facilitate the development and execution of integration solutions. In this article, we propose a methodology to support software engineers in the decision-making process for an integration platform when performance is a central requirement. The proposed methodology adds objective criteria for performance assessment purposes and has been used to rank the five most popular integration platforms in order to prove its feasibility.     

Taking a new contour: A novel approach to panel unit root tests

The paper introduces a novel approach to testing for unit roots in panels, which takes a new contour that is drawn along the line given by the equi-squared-sum instead of the traditional one given by the equi-sample-size. We show in the paper that the distributions of the unit root tests are asymptotically normal along the new contour under both the null and the local-to-unity alternatives. Subsequently, we demonstrate that this startling finding may be exploited constructively to invent tools and methodologies for effective inferences in panel unit root models. Simulations show that our approach works quite well in finite samples.     

A new approach to inter-rater agreement through stochastic orderings: the discrete case

We wish to study inter-rater agreement comparing groups of observers who express their ratings on a discrete or ordinal scale. The starting point is that of defining what we mean by “agreement”. Given d observers, let the scores they assign to a given statistical unit be expressed as a d-vector in the real space. We define a deterministic ordering among these vectors, which expresses the degree of the raters’ agreement. The overall scoring of the raters on the sample space will be a d-dimensional random vector. We then define an associated partial ordering among the random vectors of the ratings, illustrate a number of its properties, and look at order-preserving functions (agreement measures). In this paper we also show how to test the hypothesis of greater agreement against the unrestricted hypothesis, and the hypothesis of equal agreement against the hypothesis that an agreement ordering holds. The test is applied to real data on two medical observers rating clinical guidelines.